At the New York State Department of Health, I built and operated Java-based systems powering production AI agents across public-sector workflows. The systems cut manual processing time by 30%, and I helped reduce bad outputs by 25% through monitoring and guardrails.
At Ameriprise Financial Services, I designed and operated agentic AI platform backends serving financial analytics and decision workflows. I optimized PostgreSQL queries to cut average latency by 35% and maintained 99.9% uptime across eight agent workflows.
